Abraham Starosta commited on
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update readme

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  1. README.md +13 -0
  2. README.md' +8 -0
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  This model takes a tweet with the word "jew" in it, and determines if it's antisemitic.
 
 
 
 
 
 
 
 
 
 
 
 
 
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  This model takes a tweet with the word "jew" in it, and determines if it's antisemitic.
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+ *Labels:*
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+ 1 for antisemitic
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+ 0 otherwise
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+ *Training data:*
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+ This model was trained on 4k tweets, where ~50% were labeled as antisemitic.
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+ *Disclaimer:*
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+ This model is not ready for production, it needs more evaluation and more training data.
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+ This model takes a tweet with the word "jew" in it, and determines if it's antisemitic.
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+ Labels:
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+ 1 for antisemitic
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+ 0 otherwise
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+ NOTE: this model was trained on data that I labeled personally, with 4k tweets (~%50 antisemitic and ~50% not antisemitic).